Elisabetta Stenner

477 citations
48 papers · 339 · h-index 11

Impact in

Papers in

Elisabetta Stenner

40 papers receiving 311 citations

Peers

Elisabetta Stenner
Comparison fields: 5 of 63
  • Nephrology 37
  • Cardiology and Cardiovascular Medicine 102
  • Endocrinology, Diabetes and Metabolism 41
  • Radiology, Nuclear Medicine and Imaging 52
  • Behavioral Neuroscience 8
Replace Subhashish Agarwal with:
Subhashish Agarwal United States
Ádám L. Jermendy Hungary
Nuria Navarrete‐Navarrete Spain
Kunshen Liu China
Catherine Y. Campbell United States
Sayaka Kadowaki Japan
Campbell Kyle New Zealand
Morteza Rohani Sweden
Fatih Altunkaş Türkiye
Banafsheh Arshi Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Elisabetta Stenner

Since Specialization
Citations

This map shows the geographic impact of Elisabetta Stenner's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Elisabetta Stenner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisabetta Stenner more than expected).

Fields of papers citing papers by Elisabetta Stenner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elisabetta Stenner. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Elisabetta Stenner. The network helps show where Elisabetta Stenner may publish in the future.

Co-authors

The 25 scholars most cited alongside Elisabetta Stenner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Elisabetta Stenner Line = papers co-authored together Elisabetta Stenner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202054
2 201534
3 201723
4 201618
5 201717
6 201916
7 201813
8 202011
9 201511
10 201810
11 201610
12 20199
13 20239
14 20068
15 20148
16 20187
17 20217
18 20236
19 20216
20 20186

About Elisabetta Stenner

Elisabetta Stenner is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Pathology and Forensic Medicine and Nephrology, having authored 48 papers that have together received 339 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (16 papers), Acute Myocardial Infarction Research (16 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Heart Failure Treatment and Management (3 papers), Cardiovascular Function and Risk Factors (3 papers), Vitamin D Research Studies (3 papers), Parathyroid Disorders and Treatments (3 papers) and High Altitude and Hypoxia (2 papers). The work is most often cited by research in Nephrology (37 citations), Cardiology and Cardiovascular Medicine (102 citations), Endocrinology, Diabetes and Metabolism (41 citations), Radiology, Nuclear Medicine and Imaging (52 citations) and Behavioral Neuroscience (8 citations). Elisabetta Stenner has collaborated with scholars based in Italy, Poland and Spain. Frequent co-authors include Maria Pia Francescato, Giuliana Stel, Barbara Toffoli, Stella Bernardi, Bruno Fabris, Gianfranco Sinagra, Aneta Aleksova, Maurizio Ruscio, Marco Moretti and G. Galli. Their work appears in journals such as Journal of Clinical Medicine, British Journal of Sports Medicine, Metabolism, BMC Nephrology and International Journal of Molecular Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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